productivityfile-systems

Google Drive & Sheets

isaacphi

by isaacphi

Integrate Google Sheets API and Google Drive for seamless file operations and spreadsheet data manipulation via the Goog

Integrates Google Drive and Sheets functionality for file operations and spreadsheet data manipulation.

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Supports all Google Drive file typesFlexible range selection for sheets

best for

  • / Data analysts working with Google Sheets
  • / Content managers organizing Drive files
  • / Automating spreadsheet updates and reports

capabilities

  • / Search Google Drive files by query
  • / Read file contents from Google Drive
  • / Read data from Google Sheets ranges
  • / Update individual cells in spreadsheets

what it does

Connects to Google Drive and Sheets to search files, read documents, and manipulate spreadsheet data. Requires Google API authentication.

how to install

You can install Google Drive & Sheets in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Google Drive & Sheets is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Google Drive server

This MCP server integrates with Google Drive to allow listing, reading, and searching files, as well as the ability to read and write to Google Sheets.

This project includes code originally developed by Anthropic, PBC, licensed under the MIT License from this repo.

Components

Tools

  • gdrive_search

    • Description: Search for files in Google Drive.
    • Input:
      • query (string): Search query.
      • pageToken (string, optional): Token for the next page of results.
      • pageSize (number, optional): Number of results per page (max 100).
    • Output: Returns file names and MIME types of matching files.
  • gdrive_read_file

    • Description: Read contents of a file from Google Drive.
    • Input:
      • fileId (string): ID of the file to read.
    • Output: Returns the contents of the specified file.
  • gsheets_read

    • Description: Read data from a Google Spreadsheet with flexible options for ranges and formatting.
    • Input:
      • spreadsheetId (string): The ID of the spreadsheet to read.
      • ranges (array of strings, optional): Optional array of A1 notation ranges (e.g., ['Sheet1!A1:B10']). If not provided, reads the entire sheet.
      • sheetId (number, optional): Specific sheet ID to read. If not provided with ranges, reads the first sheet.
    • Output: Returns the specified data from the spreadsheet.
  • gsheets_update_cell

    • Description: Update a cell value in a Google Spreadsheet.
    • Input:
      • fileId (string): ID of the spreadsheet.
      • range (string): Cell range in A1 notation (e.g., 'Sheet1!A1').
      • value (string): New cell value.
    • Output: Confirms the updated value in the specified cell.

Resources

The server provides access to Google Drive files:

  • Files (gdrive:///<file_id>)
    • Supports all file types
    • Google Workspace files are automatically exported:
      • Docs → Markdown
      • Sheets → CSV
      • Presentations → Plain text
      • Drawings → PNG
    • Other files are provided in their native format

Getting started

  1. Create a new Google Cloud project
  2. Enable the Google Drive API
  3. Configure an OAuth consent screen ("internal" is fine for testing)
  4. Add OAuth scopes https://www.googleapis.com/auth/drive.readonly, https://www.googleapis.com/auth/spreadsheets
  5. In order to allow interaction with sheets and docs you will also need to enable the Google Sheets API and Google Docs API in your workspaces Enabled API and Services section.
  6. Create an OAuth Client ID for application type "Desktop App"
  7. Download the JSON file of your client's OAuth keys
  8. Rename the key file to gcp-oauth.keys.json and place into the path you specify with GDRIVE_CREDS_DIR (i.e. /Users/username/.config/mcp-gdrive)
  9. Note your OAuth Client ID and Client Secret. They must be provided as environment variables along with your configuration directory.
  10. You will also need to setup a .env file within the project with the following fields. You can find the Client ID and Client Secret in the Credentials section of the Google Cloud Console.
GDRIVE_CREDS_DIR=/path/to/config/directory
CLIENT_ID=<CLIENT_ID>
CLIENT_SECRET=<CLIENT_SECRET>

Make sure to build the server with either npm run build or npm run watch.

Authentication

Next you will need to run node ./dist/index.js to trigger the authentication step

You will be prompted to authenticate with your browser. You must authenticate with an account in the same organization as your Google Cloud project.

Your OAuth token is saved in the directory specified by the GDRIVE_CREDS_DIR environment variable.

Authentication Prompt

Usage with Desktop App

To integrate this server with the desktop app, add the following to your app's server configuration:

{
  "mcpServers": {
    "gdrive": {
      "command": "npx",
      "args": ["-y", "@isaacphi/mcp-gdrive"],
      "env": {
        "CLIENT_ID": "<CLIENT_ID>",
        "CLIENT_SECRET": "<CLIENT_SECRET>",
        "GDRIVE_CREDS_DIR": "/path/to/config/directory"
      }
    }
  }
}

License

This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

FAQ

What is the Google Drive & Sheets MCP server?
Google Drive & Sheets is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Google Drive & Sheets?
This profile displays 71 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.

Use Cases

Code & Document Analysis

Read, analyze, and understand files in your project

Example

Summarize README, analyze code structure, find TODO comments across codebase

Navigate large codebases 5x faster, understand projects quickly

Automated File Operations

Create, move, rename, and organize files based on natural language instructions

Example

Organize downloads by file type, rename files following convention, batch process images

Save hours on manual file organization

Content Search & Extraction

Search files for patterns, extract data, find information across directories

Example

Find all config files with API keys, extract emails from documents, search logs for errors

Find information instantly instead of manual grep/find

File Generation & Templates

Generate boilerplate files, apply templates, create project structures

Example

Create React component with tests and styles, generate OpenAPI spec, scaffold new project

Eliminate repetitive file creation work

Implementation Guide

Prerequisites

  • Claude Desktop or Cursor with MCP support
  • File system permissions for directories you want to access
  • Understanding of file paths and directory structure
  • Backup of important files before bulk operations

Time Estimate

10-20 minutes including configuration

Installation Steps

  1. 1.Install filesystem MCP server (often built-in with Claude Desktop)
  2. 2.Configure allowed directories in MCP config for security
  3. 3.Test read: 'Show me contents of ~/Documents/test.txt'
  4. 4.Test write: 'Create a new file notes.md in current directory'
  5. 5.Test search: 'Find all .js files containing TODO'
  6. 6.Test batch operations: 'Rename all .jpeg files to .jpg'
  7. 7.Verify file permissions and access controls

Troubleshooting

  • Permission denied: Check file/directory permissions, run with appropriate user
  • Path not found: Verify path is absolute or relative to working directory
  • MCP server can't access directory: Add to allowed directories in config
  • File already exists: Use overwrite flag or check before writing
  • Operation failed: Check disk space, file locks, antivirus interference

Best Practices

✓ Do

  • +Configure allowed directories explicitly—don't grant full filesystem access
  • +Back up important files before bulk operations
  • +Use dry-run mode for risky operations when available
  • +Validate file paths before operations
  • +Set appropriate file permissions on created files
  • +Log file operations for audit trail
  • +Test operations on sample files first

✗ Don't

  • Don't grant MCP access to system directories (/etc, /System)
  • Don't allow write access to production config files
  • Don't skip backup before bulk delete/move operations
  • Don't use for sensitive files (passwords, keys) without encryption
  • Don't ignore file permission errors—investigate root cause
  • Don't expose personal documents without considering privacy

💡 Pro Tips

  • Use .gitignore patterns to exclude sensitive files from AI access
  • Create sandboxed working directory for file experiments
  • Combine with version control (git) for easy rollback
  • Use file watching for real-time monitoring and reactions
  • Create templates for common file generation tasks
  • Leverage file metadata (timestamps, size) for smart organization

Technical Details

Architecture

MCP server provides file I/O operations (read, write, search, metadata) as tools Claude can invoke with natural language instructions.

Protocols

  • Local file system API
  • Glob patterns for search
  • File streams for large files

Compatibility

  • macOS
  • Linux
  • Windows
  • Local files only (no remote filesystems by default)

When to Use This

✓ Use When

Use for code analysis, file organization, content search, template generation, and automating repetitive file operations. Best for local development workflows.

✗ Avoid When

Avoid for system-critical files, sensitive credentials, production environments, or when file integrity is paramount. Don't use on files you can't afford to lose.

Integration

  • Combine with git for version-controlled file operations
  • Integrate with code editors for seamless workflow
  • Use with backup tools for safety net
  • Pair with file watchers for automated reactions

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.571 reviews
  • Tariq Nasser· Dec 16, 2024

    I recommend Google Drive & Sheets for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Ganesh Mohane· Dec 8, 2024

    Google Drive & Sheets reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Layla Iyer· Dec 4, 2024

    Google Drive & Sheets is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Rahul Santra· Nov 27, 2024

    I recommend Google Drive & Sheets for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Omar Flores· Nov 23, 2024

    Google Drive & Sheets is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Ira Taylor· Nov 11, 2024

    Google Drive & Sheets has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Nia Martinez· Nov 7, 2024

    According to our notes, Google Drive & Sheets benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Hassan Huang· Nov 7, 2024

    Google Drive & Sheets reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Naina Kim· Oct 26, 2024

    Google Drive & Sheets has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Nia Li· Oct 26, 2024

    Useful MCP listing: Google Drive & Sheets is the kind of server we cite when onboarding engineers to host + tool permissions.

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